COVID-19 prediction through X-ray images using various layers in convolutional neural network
ISSN: 1708-5284
Article publication date: 17 August 2021
Issue publication date: 15 March 2022
Abstract
Purpose
The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.
Design/methodology/approach
This study proposed convolutional neural network (CNN) approach to predict COVID-19.
Findings
Prediction of COVID-19 using CNN.
Originality/value
The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.
Keywords
Citation
Mishra, J., Tiwari, M., Bajpai, B., Atre, S. and Kaur, A. (2022), "COVID-19 prediction through X-ray images using various layers in convolutional neural network", World Journal of Engineering, Vol. 19 No. 2, pp. 139-146. https://doi.org/10.1108/WJE-01-2021-0015
Publisher
:Emerald Publishing Limited
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